Label Studio
Free tierLabel any data. Evaluate any AI.
Free tier available·All audiences·API available·Open source
Key strengths
Multi-type data labeling (CV, NLP, audio, time series, multi-modal)AI evaluation and benchmarkingHuman-in-the-loop workflowsOpen source with Apache 2.0 licenseSelf-hostable via Docker/pip/brew/gitProgrammable interfaces with API, Python SDK, and webhooksLarge community (1M+ practitioners, 20,000+ Slack members)
Free tier + paid plans
Founded 2019
Self-hostable
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Label Studio integrates into ML workflows through multiple deployment and automation pathways:
- Deployment: Self-host via
pip install label-studio, Docker, Homebrew, or by cloning the Git repository. - API & SDK: A REST API and Python SDK allow programmatic project creation, task import/export, annotation retrieval, and workflow automation.
- Webhooks: Event-driven webhooks enable real-time triggers for downstream pipeline steps when annotations are submitted or updated.
- Cloud Storage: Native integrations with cloud storage allow direct data sourcing and export.
- Licensing: Apache 2.0 open-source license for the Community Edition; Enterprise tier available for additional features.
- Pricing: Freemium — Community Edition is free; Enterprise tier is paid.